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Paul Pacaud

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#machine learning Preprint Oct 2026

REKI: Registering Knowledge in VLAs

We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outperformed only by models about twice its size. REKI consists of a vision-language model (VL...

Juliette Marrie, Paul Pacaud, Adrien Ramanana Rahary et al. · 0 citations
#artificial intelligence Preprint Jun 2025

Gondola: Grounded Vision Language Planning for Robotic Manipulation

A modular manipulation framework that separates high-level planning from low-level control and coupling grounded plan generation with a 3D-based execution policy, this framework achieves state-of-the-art performance on the challenging GemBench benchmark and demonstrates promising transfer to real robots.

Shi-Zhe Chen, Ricardo Garcia, Paul Pacaud et al. · 2 citations
Preprint Sep 2026

Spatially Aware World Action Model via Geometric Latent Diffusion

A Spatially Aware World Action Model (SA-WAM), which repurposes a pretrained video model for joint action, RGB, and depth prediction, enabling 3D-aware world modeling and action prediction within a single diffusion backbone.

Javier Alejandro Lopetegui Gonzalez, Paul Pacaud, Cordelia Schmid · 6 citations

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